Frailty modelling for multitype recurrent events in clinical trials

Author:

Brown Paul M12,Ezekowitz Justin A2

Affiliation:

1. Department of Medicine, University of Alberta, Edmonton, Canada.

2. Canadian VIGOUR Centre, Edmonton, Canada.

Abstract

Recurrent event outcomes are ubiquitous among clinical trial data which encourages a conventional approach to analysis. Yet a common feature of these data has received less attention, that is, survival times often comprise multiple types of events that may imply a disparity in cost and disease severity. Typically, we neglect this feature of the data by combining event-types or analyzing each type separately, thus ignoring any interdependence among them. This practice may reflect a dearth of readily available methods and software that more appropriately acknowledge the true data structure. We provide a review of the literature on multitype recurrent events and frailty modelling which reflects a renewed interest in the topic over the past decade and the emergence of software for estimation. Thus, a review of available methods seems timely, if not overdue.

Publisher

SAGE Publications

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

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